Triple
T13114393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sex and Temperament |
E311055
|
entity |
| Predicate | periodOfFieldwork |
P108116
|
FINISHED |
| Object | early 1930s |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: early 1930s | Statement: [Sex and Temperament, periodOfFieldwork, early 1930s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: periodOfFieldwork Context triple: [Sex and Temperament, periodOfFieldwork, early 1930s]
-
A.
collaborationPeriod
Indicates the time span during which two or more entities are actively engaged in a collaborative relationship or joint activity.
-
B.
timeSpanOfExcavations
Indicates the duration or period of time during which the excavations took place.
-
C.
partOfWorkPeriod
Indicates that a specific time span is contained within, and belongs to, a larger defined work period.
-
D.
occupationDuration
Indicates the length of time an entity holds or has held a particular occupation or role.
-
E.
periodOfMajorUse
Indicates the time span during which something was primarily or most intensively used.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98180b6ac8190ae5a1f7c1480bd54 |
completed | April 10, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69d98041a3548190a05ddd83dbb660fa |
completed | April 10, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69d98134df64819084a5674f9475dcc2 |
completed | April 10, 2026, 11:01 p.m. |
Created at: April 9, 2026, 9:06 p.m.